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20182024
most citedEfficient Quality Control of Whole Slide Pathology Images with Human-in-the-loop Training

35 citations · 46 across the 11 of their papers we have counts for

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8 papers · 1 filter

cs.CV2022

Improving Mitosis Detection Via UNet-based Adversarial Domain Homogenizer

Tirupati Saketh Chandr, Sahar Almahfouz Nasser, Nikhil Cherian Kurian +1

The effective localization of mitosis is a critical precursory task for deciding tumor prognosis and grade. Automated mitosis detection through deep learning-oriented image analysi…

cs.CV20222 cited

WaveMix: Resource-efficient Token Mixing for Images

Pranav Jeevan, Amit Sethi

Although certain vision transformer (ViT) and CNN architectures generalize well on vision tasks, it is often impractical to use them on green, edge, or desktop computing due to the…

cs.CV2020

Fast, Self Supervised, Fully Convolutional Color Normalization of H&E Stained Images

Abhijeet Patil, Mohd. Talha, Aniket Bhatia +4

Performance of deep learning algorithms decreases drastically if the data distributions of the training and testing sets are different. Due to variations in staining protocols, rea…

cs.CV2020

PAL : Pretext-based Active Learning

Shubhang Bhatnagar, Sachin Goyal, Darshan Tank +1

The goal of pool-based active learning is to judiciously select a fixed-sized subset of unlabeled samples from a pool to query an oracle for their labels, in order to maximize the…

cs.CV20204 cited

Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes

Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil +8

Development of either drought-resistant or drought-tolerant varieties in rice (Oryza sativa L.), especially for high yield in the context of climate change, is a crucial task acros…

cs.CV2020

Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning

Abhijeet Patil, Dipesh Tamboli, Swati Meena +2

Breast cancer has the highest mortality among cancers in women. Computer-aided pathology to analyze microscopic histopathology images for diagnosis with an increasing number of bre…